Selected article for: "behavior change and large scale"

Author: Solomon Hsiang; Daniel Allen; Sebastien Annan-Phan; Kendon Bell; Ian Bolliger; Trinetta Chong; Hannah Druckenmiller; Andrew Hultgren; Luna Yue Huang; Emma Krasovich; Peiley Lau; Jaecheol Lee; Esther Rolf; Jeanette Tseng; Tiffany Wu
Title: The Effect of Large-Scale Anti-Contagion Policies on the Coronavirus (COVID-19) Pandemic
  • Document date: 2020_3_27
  • ID: gtfx5cp4_39
    Snippet: Process-based epidemiological models aim to capture elements of f (·) explicitly, and then simulate how changes in z, x, or w affect y. This approach is particularly important and useful in forwardlooking simulations where future conditions are likely to be different than historical conditions. However, a challenge faced by this approach is that we may not know the full structure of f (·), for example if a pathogen is new and many key biologica.....
    Document: Process-based epidemiological models aim to capture elements of f (·) explicitly, and then simulate how changes in z, x, or w affect y. This approach is particularly important and useful in forwardlooking simulations where future conditions are likely to be different than historical conditions. However, a challenge faced by this approach is that we may not know the full structure of f (·), for example if a pathogen is new and many key biological and societal parameters remain uncertain. Crucially, we may not know the effect that large-scale policy (z) will have on behavior (x(z)) or how this behavior change will affect infection rates (f (·)). Alternatively, one can differentiate Equation 1 with respect to the k th policy z k :

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